Lead Data Scientist - BI Prediction

Voodoo·France·Удалённо·8 мес. назад

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.

The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.

Within the Data team, you’ll join the BI/Prediction Team which is an autonomous squad of around 10 people. The team is composed of top-tier product managers, software & data engineers, data scientists and data analysts.

The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction.

We want to onboard a passionate senior data scientist with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success.

This position is hybrid and requires 3 days per week in the office based in Paris.

Take ownership of our products modeling pipelines
Contribute to high modeling performance through insightful ideas and initiatives.
Build and deploy quickly scalable ML systems.
Engage with colleagues across the company to leverage new ideas and perspectives and demonstrate excellent communication to efficiently cooperate with product managers, teammates and stakeholders.
Deep dive into data to discover relevant insights.
Build a rich understanding of the mobile gaming industry, the company strategy, our products and their fit within the company’s daily operations.
Mentor and guide a team of data scientists, fostering technical excellence and autonomy.
Establish and enforce best practices in ML engineering, experimentation, and reproducibility across projects.
Champion a culture of impact-driven research, ensuring models not only perform well technically but also create tangible business value.
Proactively identify risks in modeling approaches, data quality, scalability, business alignment and design mitigation strategies.